Web-Based System for Detecting Heart Attacks and Monitoring Heart Rates

Authors

  • J. Kiran Chandra Sekhar Author
  • Balam Bindu Madhavi Naga Latha Author
  • Bodapati Tejaswi Author
  • Indukuri Pavani Author

DOI:

https://doi.org/10.62643/

Abstract

One of the top killers on a global scale is cardiovascular illness, which includes heart attacks. Timely medical care greatly improves survival chances when problematic cardiac problems are detected early. The Heart Rate Sensor, DHT11 Temperature and Humidity Sensor, MQ2 Gas Sensor, Internet of Things (IoT) connection, and a buzzer alert system are all part of the proposed system for detecting and monitoring heart attacks using the Internet of Things. The patient's pulse is constantly being monitored by the Heart Rate Sensor, which may identify irregular heartbeats that may suggest possible cardiac problems. In addition to measuring core temperature and relative humidity, the DHT11 sensor may provide valuable information about a person's overall health. Overconsumption may lead to cardiac problems, which is why the MQ2 gas sensor can identify toxic gas or alcohol levels in the circulation. Medical experts or caregivers may remotely view the patient's vital signs thanks to the system's connection to the internet of things (IoT), which enables real-time monitoring and data transfer to cloud platforms. When anything out of the ordinary is discovered, a buzzer warning system goes out to let the patient and caregivers know that they need to take quick action. Furthermore, a GPS module is included into the system to communicate the patient's current position in the event of a medical emergency. The microcontroller, which is based on Arduino, analyzes the data from all the sensors, notifies the user, and sends the results to an internet of things dashboard. For continuous heart health tracking that ensures early intervention and reduces fatal cardiac episodes, this smart health monitoring system offers a cost-effective, efficient, and scalable solution. The integration of wearable sensors, AI-driven emergency response systems, and machine learning algorithms for predictive analysis are all potential future improvements that might further enhance patient care.

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Published

11-04-2025

How to Cite

Web-Based System for Detecting Heart Attacks and Monitoring Heart Rates. (2025). International Journal of Engineering Research and Science & Technology, 21(2), 173-179. https://doi.org/10.62643/